{"id":"W3048214116","doi":"10.1016/j.bbmt.2020.08.003","title":"A Personalized Prediction Model for Outcomes after Allogeneic Hematopoietic Cell Transplant in Patients with Myelodysplastic Syndromes","year":2020,"lang":"en","type":"article","venue":"Biology of Blood and Marrow Transplantation","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"National Institute of Allergy and Infectious Diseases; National Cancer Institute; Office of Naval Research; National Heart, Lung, and Blood Institute; Health Resources and Services Administration","keywords":"Medicine; Myelodysplastic syndromes; International Prognostic Scoring System; Oncology; Internal medicine; Cohort; Concordance; Transplantation; Hematopoietic stem cell transplantation; Myeloid; NPM1; Bone marrow; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001911918,0.0007049012,0.0009308711,0.0008148891,0.0003182264,0.0007887573,0.00065142,0.0006878915,0.001398765],"category_scores_gemma":[0.003196086,0.000327893,0.0008243569,0.0004154508,0.0001790696,0.0003236302,0.0004907561,0.00102612,0.0002547345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000727149,"about_ca_system_score_gemma":0.001098281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01380474,"about_ca_topic_score_gemma":0.009053561,"domain_scores_codex":[0.9996661,0.0001202033,0.00002330155,0.00009387785,0.00002981485,0.00006672548],"domain_scores_gemma":[0.9983671,0.001136304,0.0001695339,0.00004825439,0.000178454,0.0001005023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009584774,0.0004560411,0.1776492,0.00005090468,0.0003039627,0.0004059558,0.0001094091,0.7650699,0.0006093415,0.0007634098,0.0031056,0.05051777],"study_design_scores_gemma":[0.0000288656,0.0001017741,0.006570454,0.000007777233,0.00005023153,0.00004743111,0.00001539162,0.992393,0.00009588789,0.0005417271,0.000139846,0.00000761993],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9085412,0.0005262324,0.08528534,0.001528774,0.00009266812,0.0001259533,0.002287956,0.0005785167,0.001033358],"genre_scores_gemma":[0.9867266,0.0001121461,0.01069987,0.0000948883,0.00003885776,0.00009167213,0.001582209,0.00001562467,0.0006382306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01380474,"threshold_uncertainty_score":0.02744877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01369413417340228,"score_gpt":0.238448414300949,"score_spread":0.2247542801275467,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}